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Post-Synaptic Density

Name
Post-Synaptic Density
Namespace Keyword
CellStructure
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/cell-structure/cell-structure-20170511.belanno

Sample Annotated Edges 3

a(CHEBI:"glutamate(2-)") directlyIncreases act(p(MESH:D017470)) View Subject | View Object

First, the presence of elevated neurotransmitter levels in the synapse under resting conditions can be thought of as a constant 'background signal,' leading to chronic low-level activation of glutamatergic receptors on postsynaptic neurons and possibly neuronal death. PubMed:16273023

Appears in Networks:
Annotations
MeSH
Post-Synaptic Density
Cell Ontology (CL)
glial cell
Disease Ontology (DO)
Alzheimer's disease
MeSH
Frontal Lobe
MeSH
Temporal Lobe

act(p(MESH:D017470)) association bp(GO:"GO:0070997") View Subject | View Object

First, the presence of elevated neurotransmitter levels in the synapse under resting conditions can be thought of as a constant 'background signal,' leading to chronic low-level activation of glutamatergic receptors on postsynaptic neurons and possibly neuronal death. PubMed:16273023

Appears in Networks:
Annotations
MeSH
Post-Synaptic Density
Cell Ontology (CL)
glial cell
Disease Ontology (DO)
Alzheimer's disease
MeSH
Frontal Lobe
MeSH
Temporal Lobe

bp(GO:"GO:0070997") association act(p(MESH:D017470)) View Subject | View Object

First, the presence of elevated neurotransmitter levels in the synapse under resting conditions can be thought of as a constant 'background signal,' leading to chronic low-level activation of glutamatergic receptors on postsynaptic neurons and possibly neuronal death. PubMed:16273023

Appears in Networks:
Annotations
MeSH
Post-Synaptic Density
Cell Ontology (CL)
glial cell
Disease Ontology (DO)
Alzheimer's disease
MeSH
Frontal Lobe
MeSH
Temporal Lobe

Showing 3 of 3 edges

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.